EMPIAR-10373 - BurrH bound to DNA Origami Goniometer [multiple data sets in MRC and MRCS formats]

EMPIAR-10373

BurrH bound to DNA Origami Goniometer [multiple data sets in MRC and MRCS formats]

Publication:

Molecular goniometers for single-particle cryo-EM of DNA-binding proteins

Aksel T, Yu Z, Cheng Y, Douglas SM

bioRxiv (2020)

DOI: 10.1101/2020.02.27.968883

Related EMDB entry:

EMD-21443

Deposited:

2020-02-23

Released:

2020-04-03

Last modified:

2020-02-25

Imageset size:

1.48 TB

Imageset DOI:

10.6019/EMPIAR-10373

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
picked particles - multiframe - processed

Image Sets

1. DNA Origami Goniometers in complex with BurrH DNA binding protein

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

15658

Image size:

(5760, 4092)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.82, 1.82)

Details:

Micrographs are motion-corrected and dose weighted. CTF parameters are available in micrographs.star file.

Files:

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2. BurrH particle set used for the final refinement

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

68482

Image size:

(128, 128)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.82, 1.82)

Details:

Final particle stack used for BurrH refinement. Reconstruction parameters are in stack.star.

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

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Citations

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Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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